{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Temporal Convolutional Network\n",
    "In this notebook, we show an example of how TCNs can be used with darts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fix python path if working locally\n",
    "from utils import fix_pythonpath_if_working_locally\n",
    "fix_pythonpath_if_working_locally()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from darts import TimeSeries\n",
    "from darts.models import TCNModel, RNNModel\n",
    "from darts.dataprocessing.transformers import Scaler\n",
    "from darts.metrics import mape, r2_score\n",
    "from darts.utils.missing_values import fill_missing_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def transform_data(series, train, val):\n",
    "    transformer = Scaler()\n",
    "    train_transformed = transformer.fit_transform(train)\n",
    "    val_transformed = transformer.transform(val)\n",
    "    ts_transformed = transformer.transform(series)\n",
    "    return ts_transformed, train_transformed, val_transformed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def display_forecast(pred_series, ts_transformed, forecast_type, start_date=None):\n",
    "    plt.figure(figsize=(8,5))\n",
    "    if (start_date):\n",
    "        ts_transformed = ts_transformed.drop_before(start_date)\n",
    "    ts_transformed.univariate_component(0).plot(label='actual')\n",
    "    pred_series.plot(label=('historic ' + forecast_type + ' forecasts'))\n",
    "    plt.title('R2: {}'.format(r2_score(ts_transformed.univariate_component(0), pred_series)))\n",
    "    plt.legend();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Air passengers dataset\n",
    "Since this dataset contains strong yearly seasonality, we will enhance our univariate time series of air passengers to a 13-dimensional multivariate time series containing a one-hot encoded component that for every month."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read data:\n",
    "df = pd.read_csv('AirPassengers.csv', delimiter=\",\")\n",
    "ts = TimeSeries.from_dataframe(df, 'Month', ['#Passengers']).add_datetime_attribute('month', True)\n",
    "\n",
    "# Create training and validation sets:\n",
    "train, val = ts.split_after(pd.Timestamp('19580801'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts_transformed, train_transformed, val_transformed = transform_data(ts, train, val)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When instantiating the model, we have to make sure to account for every dimension in the training time series in `input_size`. In this case, since we add a new component for every month, we have a value of 13.\n",
    "Additionally, since we later want to simulate a historic forecast 6 months into the future, we have to make sure the `output_length` parameter of our `TCNModel` instance has a value of at least 6. \n",
    "\n",
    "All the other parameters were chosen by trying out a few different combinations, but they are probably still far from the ideal set.\n",
    "If we don't specify the `num_layers` parameter, it will be chosen automatically to be the minimum number to ensure full history coverage for every entry in the output, i.e. every output will be dependent on the whole input."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "[2020-11-09 10:53:09,141] INFO | darts.models.tcn_model | Number of layers chosen: 2\n",
      "[2020-11-09 10:53:09,141] INFO | darts.models.tcn_model | Number of layers chosen: 2\n"
     ]
    }
   ],
   "source": [
    "model_air = TCNModel(\n",
    "    input_size=13,\n",
    "    n_epochs=1000, \n",
    "    input_length=20, \n",
    "    output_length=6, \n",
    "    dropout=0.1, \n",
    "    dilation_base=2, \n",
    "    weight_norm=True,\n",
    "    kernel_size=5,\n",
    "    num_filters=3,\n",
    "    random_state=0\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "HBox(children=(FloatProgress(value=0.0, max=1000.0), HTML(value='')))",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
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       "model_id": "34de7d56a52e44a8b855e303bb48471e"
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     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "model_air.fit(\n",
    "    training_series=train_transformed,\n",
    "    target_series=train_transformed['0'],\n",
    "    val_training_series=val_transformed,\n",
    "    val_target_series=val_transformed['0'],\n",
    "    verbose=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "pred_series = model_air.historical_forecasts(\n",
    "    ts_transformed,\n",
    "    target_series=ts_transformed['0'],\n",
    "    start=pd.Timestamp('19580801'), \n",
    "    forecast_horizon=6,\n",
    "    use_full_output_length=True,\n",
    "    retrain=False\n",
    ")\n",
    "display_forecast(pred_series, ts_transformed, '6 month')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Monthly sunspots\n",
    "Let's try using the `TCNModel` on a more complex and much bigger dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv('monthly-sunspots.csv', delimiter=\",\")\n",
    "series_sunspot = TimeSeries.from_dataframe(df2, 'Month', ['Sunspots'])\n",
    "series_sunspot = series_sunspot.add_datetime_attribute('month', True)\n",
    "train_sp, val_sp = series_sunspot.split_after(pd.Timestamp('19401001'))\n",
    "\n",
    "series_sp_transformed, train_sp_transformed, val_sp_transformed = transform_data(series_sunspot, train_sp, val_sp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "[2020-11-09 10:53:45,584] INFO | darts.models.tcn_model | Number of layers chosen: 6\n",
      "[2020-11-09 10:53:45,584] INFO | darts.models.tcn_model | Number of layers chosen: 6\n"
     ]
    }
   ],
   "source": [
    "model_sun = TCNModel(\n",
    "    input_size=13,\n",
    "    n_epochs=10, \n",
    "    input_length=250,\n",
    "    output_length=36,\n",
    "    dropout=0, \n",
    "    dilation_base=2, \n",
    "    weight_norm=True,\n",
    "    kernel_size=3,\n",
    "    num_filters=6,\n",
    "    nr_epochs_val_period=1,\n",
    "    random_state=0\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "HBox(children=(FloatProgress(value=0.0, max=10.0), HTML(value='')))",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "c26137b284df4d53aebe5c885626775a"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Training loss: 0.0282, validation loss: 0.0499\n"
     ]
    }
   ],
   "source": [
    "model_sun.fit(\n",
    "    training_series=train_sp_transformed,\n",
    "    target_series=train_sp_transformed['0'],\n",
    "    val_training_series=val_sp_transformed,\n",
    "    val_target_series=val_sp_transformed['0'],\n",
    "    verbose=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "HBox(children=(FloatProgress(value=0.0, max=81.0), HTML(value='')))",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "7214c921a1524b94bec2fb944577816f"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "[2020-11-09 10:54:13,063] WARNING | darts.timeseries | The inferred frequency does not match the value of the \"freq\" argument.\n",
      "[2020-11-09 10:54:13,149] WARNING | darts.timeseries | The inferred frequency does not match the value of the \"freq\" argument.\n",
      "\n"
     ]
    },
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "pred_series = model_sun.historical_forecasts(\n",
    "    training_series=series_sp_transformed,\n",
    "    target_series=series_sp_transformed['0'],\n",
    "    start=pd.Timestamp('19401001'), \n",
    "    forecast_horizon=36,\n",
    "    stride=6,\n",
    "    retrain=False,\n",
    "    use_full_output_length=True,\n",
    "    verbose=True\n",
    ")\n",
    "display_forecast(pred_series, series_sp_transformed, '3 year', start_date=pd.Timestamp('19391001'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Daily energy production"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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174.498823 164.071319 \nL 174.727981 165.669354 \nL 174.95714 165.264588 \nL 175.186298 123.757731 \nL 175.415456 120.456527 \nL 175.644614 59.494645 \nL 175.873772 49.517439 \nL 176.10293 48.544951 \nL 176.561246 147.139507 \nL 177.248721 205.593946 \nL 177.477879 172.855254 \nL 177.707037 178.784805 \nL 178.165353 180.298733 \nL 178.394511 179.657417 \nL 178.623669 175.304874 \nL 179.081986 185.161176 \nL 179.311144 180.777093 \nL 179.76946 185.003475 \nL 179.998618 184.956164 \nL 180.227776 185.371443 \nL 180.456934 192.536317 \nL 180.686092 191.963338 \nL 180.91525 186.953708 \nL 181.144409 190.622881 \nL 181.602725 200.784071 \nL 181.831883 192.347076 \nL 182.061041 124.562005 \nL 182.290199 111.204745 \nL 182.519357 61.539499 \nL 182.977673 37.101128 \nL 183.43599 158.005093 \nL 183.665148 166.431574 \nL 183.894306 178.995073 \nL 184.123464 199.711705 \nL 184.352622 173.854026 \nL 184.810938 197.156952 \nL 185.040096 189.928997 \nL 185.269255 201.651425 \nL 185.498413 204.248232 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110.111353 \nL 197.414634 148.264439 \nL 197.872951 181.103008 \nL 198.102109 203.428188 \nL 198.331267 174.747664 \nL 198.560425 179.363042 \nL 198.789583 180.204113 \nL 199.018741 178.674415 \nL 199.477057 171.903793 \nL 199.706216 180.798119 \nL 199.935374 184.225484 \nL 200.164532 177.896424 \nL 200.39369 178.96879 \nL 200.852006 173.375667 \nL 201.081164 173.470288 \nL 201.310322 184.551399 \nL 201.53948 187.747469 \nL 201.768639 187.805293 \nL 201.997797 180.141033 \nL 202.226955 180.572082 \nL 202.456113 182.401411 \nL 202.685271 180.87697 \nL 202.914429 191.726787 \nL 203.143587 191.963338 \nL 203.601903 108.339847 \nL 203.831061 111.740928 \nL 204.06022 151.392172 \nL 204.289378 134.581264 \nL 204.747694 183.783922 \nL 205.20601 208.658598 \nL 205.435168 214.756364 \nL 205.893484 172.371639 \nL 206.122643 172.287532 \nL 206.351801 176.077608 \nL 206.810117 162.178909 \nL 207.039275 164.702122 \nL 207.268433 162.284043 \nL 207.497591 163.324868 \nL 207.955907 173.94339 \nL 208.185066 170.978615 \nL 208.414224 173.549138 \nL 208.643382 172.723837 \nL 208.87254 175.746436 \nL 209.101698 175.588735 \nL 209.330856 178.527227 \nL 209.560014 175.473088 \nL 210.01833 146.755768 \nL 210.247489 185.282079 \nL 210.476647 130.712337 \nL 210.705805 108.713072 \nL 210.934963 117.980624 \nL 211.164121 153.563187 \nL 211.393279 140.752623 \nL 211.851595 183.300306 \nL 212.080753 199.869406 \nL 212.309912 205.068276 \nL 212.53907 213.137302 \nL 212.768228 189.823863 \nL 212.997386 90.771975 \nL 213.226544 78.082315 \nL 213.455702 79.764458 \nL 213.68486 80.447828 \nL 213.914018 88.50634 \nL 214.143176 105.506489 \nL 214.601493 114.994822 \nL 214.830651 110.81575 \nL 215.059809 113.854119 \nL 215.288967 109.328106 \nL 215.518125 122.832553 \nL 215.747283 121.833781 \nL 215.976441 124.130956 \nL 216.205599 123.794528 \nL 216.434758 109.937882 \nL 216.663916 184.125607 \nL 216.893074 124.488411 \nL 217.122232 106.494747 \nL 217.35139 102.284135 \nL 217.580548 154.809023 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137.351542 \nL 229.038454 131.705853 \nL 229.267612 129.492784 \nL 229.49677 129.792416 \nL 229.725928 134.681141 \nL 230.184244 155.639581 \nL 230.413402 159.135283 \nL 230.64256 183.242482 \nL 230.871719 89.18971 \nL 231.559193 146.803078 \nL 231.788351 139.648717 \nL 232.246667 187.663362 \nL 232.475825 194.907086 \nL 232.704983 207.943688 \nL 232.934142 205.120843 \nL 233.1633 183.983676 \nL 233.392458 115.026362 \nL 233.621616 117.433928 \nL 233.850774 124.514695 \nL 234.079932 123.531693 \nL 234.30909 121.539406 \nL 234.538248 112.02479 \nL 234.767406 110.16392 \nL 234.996565 125.912976 \nL 235.225723 132.194725 \nL 235.454881 122.669595 \nL 235.684039 132.757191 \nL 235.913197 133.850584 \nL 236.142355 132.683598 \nL 236.371513 129.503298 \nL 236.600671 130.654514 \nL 236.829829 133.561466 \nL 237.058988 126.938031 \nL 237.517304 138.939064 \nL 237.746462 183.526344 \nL 237.97562 96.859227 \nL 238.204778 92.270133 \nL 238.663094 143.974977 \nL 238.892252 140.926094 \nL 239.121411 169.259676 \nL 239.808885 206.992226 \nL 240.038043 203.207407 \nL 240.267201 189.534745 \nL 240.496359 149.541816 \nL 240.725517 149.872988 \nL 240.954675 155.960239 \nL 241.183834 152.443511 \nL 241.64215 160.664981 \nL 242.329624 151.329092 \nL 243.017098 164.707379 \nL 243.246257 162.457513 \nL 243.475415 156.096913 \nL 243.704573 158.593843 \nL 243.933731 153.000721 \nL 244.162889 157.29544 \nL 244.392047 159.308754 \nL 244.621205 183.237225 \nL 244.850363 66.854017 \nL 245.537838 147.407598 \nL 245.766996 147.171047 \nL 246.225312 181.428923 \nL 246.683628 209.415562 \nL 246.912786 203.990654 \nL 247.141944 192.199889 \nL 247.371103 170.705267 \nL 247.600261 174.5006 \nL 247.829419 180.729782 \nL 248.058577 181.681244 \nL 248.287735 176.240566 \nL 248.516893 178.41158 \nL 248.975209 176.955476 \nL 249.204367 174.984216 \nL 249.662684 180.340787 \nL 249.891842 179.06341 \nL 250.121 180.014872 \nL 250.350158 173.727866 \nL 250.579316 174.174685 \nL 251.26679 187.242826 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197.987509 \nL 261.808064 196.767956 \nL 262.037222 196.599742 \nL 262.26638 194.334107 \nL 262.495538 195.296082 \nL 262.724696 199.264886 \nL 262.953854 200.573803 \nL 263.183012 200.158524 \nL 263.41217 200.815611 \nL 263.870487 198.875891 \nL 264.099645 200.232118 \nL 264.328803 205.18918 \nL 264.557961 204.237719 \nL 264.787119 207.102617 \nL 265.016277 206.9712 \nL 265.245435 207.62303 \nL 265.474593 206.634771 \nL 265.703751 182.22794 \nL 265.93291 86.619187 \nL 267.307858 190.454667 \nL 267.537016 201.456927 \nL 267.766174 203.118043 \nL 268.224491 164.41826 \nL 268.453649 207.707137 \nL 268.682807 210.067392 \nL 268.911965 214.209667 \nL 269.141123 209.121187 \nL 269.370281 209.520696 \nL 269.599439 208.600775 \nL 269.828597 201.299227 \nL 270.057756 201.89849 \nL 270.516072 210.288174 \nL 270.74523 209.830841 \nL 270.974388 210.18304 \nL 271.203546 210.146243 \nL 271.432704 210.80333 \nL 271.661862 209.252605 \nL 271.89102 214.157101 \nL 272.120179 214.667 \nL 272.349337 213.3318 \nL 272.578495 212.706253 \nL 272.807653 174.200968 \nL 273.036811 113.091899 \nL 273.265969 106.258196 \nL 273.724285 132.100105 \nL 274.182602 168.917991 \nL 274.640918 198.108413 \nL 274.870076 202.029907 \nL 275.099234 183.56314 \nL 275.328392 134.875639 \nL 275.55755 189.871173 \nL 275.786708 197.54069 \nL 276.015866 194.008192 \nL 276.245025 196.068816 \nL 276.474183 195.685077 \nL 276.932499 202.439929 \nL 277.161657 200.505466 \nL 277.619973 207.344425 \nL 277.849131 207.418019 \nL 278.078289 205.415218 \nL 278.307448 200.579059 \nL 278.536606 200.794584 \nL 278.765764 200.663167 \nL 278.994922 201.793356 \nL 279.22408 200.11647 \nL 279.453238 195.353905 \nL 279.682396 170.673726 \nL 279.911554 118.064731 \nL 280.140712 105.853431 \nL 280.369871 116.077701 \nL 280.599029 109.038987 \nL 280.828187 149.583869 \nL 281.286503 191.921284 \nL 281.515661 192.97788 \nL 281.744819 207.649313 \nL 281.973977 186.654077 \nL 282.203135 123.899662 \nL 282.432294 141.667288 \nL 282.661452 128.378365 \nL 282.89061 128.546579 \nL 283.119768 130.680797 \nL 283.348926 138.918037 \nL 283.578084 141.004945 \nL 283.807242 132.652058 \nL 284.0364 132.610004 \nL 284.494717 144.726684 \nL 284.953033 161.101286 \nL 285.182191 166.93096 \nL 285.411349 163.282814 \nL 286.098823 113.354733 \nL 286.55714 123.673624 \nL 286.786298 124.25186 \nL 287.015456 121.865321 \nL 287.473772 45.291057 \nL 287.70293 44.612944 \nL 287.932088 52.482215 \nL 288.848721 188.988049 \nL 289.307037 128.699024 \nL 289.536195 122.822039 \nL 289.765353 120.813982 \nL 289.994511 114.437612 \nL 290.223669 114.579543 \nL 290.452827 103.114693 \nL 290.681986 106.500004 \nL 291.140302 132.510127 \nL 291.36946 125.41359 \nL 291.598618 111.756698 \nL 291.827776 108.855003 \nL 292.056934 115.467924 \nL 292.286092 110.353161 \nL 292.51525 109.49632 \nL 292.744409 129.298287 \nL 292.973567 132.50487 \nL 293.202725 124.961514 \nL 293.661041 121.760187 \nL 293.890199 109.985192 \nL 294.119357 118.879519 \nL 294.348515 57.707369 \nL 294.577673 40.454899 \nL 295.03599 53.312773 \nL 295.952622 189.718729 \nL 296.18178 139.080994 \nL 296.410938 130.270775 \nL 296.869255 88.911105 \nL 297.327571 71.248613 \nL 297.785887 75.979638 \nL 298.015045 73.566815 \nL 298.473361 88.217222 \nL 298.702519 98.473032 \nL 298.931678 96.307274 \nL 299.160836 103.619336 \nL 299.389994 115.615112 \nL 299.619152 111.204745 \nL 299.84831 103.598309 \nL 300.077468 102.410296 \nL 300.306626 99.608478 \nL 300.535784 132.646801 \nL 300.764942 65.524073 \nL 300.994101 34.798696 \nL 301.223259 40.228861 \nL 301.452417 53.549324 \nL 302.369049 186.291365 \nL 302.598207 137.214868 \nL 302.827365 112.108897 \nL 303.056524 34.320337 \nL 303.285682 34.015448 \nL 303.51484 19.874941 \nL 303.743998 20.111492 \nL 303.973156 36.312624 \nL 304.202314 42.56809 \nL 304.431472 37.274599 \nL 304.66063 42.147554 \nL 304.889788 51.972316 \nL 305.118947 52.198353 \nL 305.348105 49.517439 \nL 305.577263 56.619233 \nL 305.806421 55.036968 \nL 306.035579 45.590689 \nL 306.493895 38.336451 \nL 306.952211 56.992458 \nL 307.18137 56.303832 \nL 307.639686 129.440217 \nL 308.098002 31.161063 \nL 308.32716 46.547407 \nL 308.556318 51.346769 \nL 309.014634 151.875788 \nL 309.243793 164.313126 \nL 309.472951 186.117894 \nL 309.931267 86.750604 \nL 310.160425 28.122694 \nL 310.618741 46.326626 \nL 310.847899 31.839177 \nL 311.077057 30.766811 \nL 311.306216 32.201889 \nL 311.535374 28.643107 \nL 311.764532 23.276022 \nL 311.99369 22.965877 \nL 312.222848 25.184202 \nL 312.452006 17.083636 \nL 312.681164 18.077152 \nL 313.13948 28.348732 \nL 313.597797 32.333306 \nL 313.826955 43.072732 \nL 314.056113 39.4351 \nL 314.285271 97.758122 \nL 314.514429 122.438301 \nL 314.743587 59.315917 \nL 314.972745 27.102895 \nL 315.201903 52.892237 \nL 315.431061 45.848267 \nL 315.889378 151.944125 \nL 316.118536 161.15911 \nL 316.347694 182.11755 \nL 316.80601 93.184798 \nL 317.035168 62.648661 \nL 317.264326 55.331343 \nL 317.493484 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "df3 = pd.read_csv('energy_dataset.csv', delimiter=\",\")\n",
    "df3['time'] = pd.to_datetime(df3['time'], utc=True)\n",
    "df3['time']= df3.time.dt.tz_localize(None)\n",
    "df3_day_avg = df3.groupby(df3['time'].astype(str).str.split(\" \").str[0]).mean().reset_index()\n",
    "series_en = fill_missing_values(TimeSeries.from_dataframe(df3_day_avg, 'time', ['generation hydro run-of-river and poundage']), 'auto')\n",
    "series_en.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "series_en = series_en.add_datetime_attribute('day', True)\n",
    "train_en, val_en = series_en.split_after(pd.Timestamp('20170901'))\n",
    "series_en_transformed, train_en_transformed, val_en_transformed = transform_data(series_en, train_en, val_en)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stderr",
     "text": [
      "[2020-11-09 10:54:15,665] INFO | darts.models.tcn_model | Number of layers chosen: 5\n",
      "[2020-11-09 10:54:15,665] INFO | darts.models.tcn_model | Number of layers chosen: 5\n"
     ]
    }
   ],
   "source": [
    "model_en = TCNModel(\n",
    "    input_size=series_en.width,\n",
    "    n_epochs=20, \n",
    "    input_length=365,\n",
    "    output_length=7, \n",
    "    dropout=0, \n",
    "    dilation_base=2, \n",
    "    weight_norm=True,\n",
    "    kernel_size=7,\n",
    "    num_filters=4,\n",
    "    nr_epochs_val_period=1,\n",
    "    random_state=0\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "HBox(children=(FloatProgress(value=0.0, max=20.0), HTML(value='')))",
      "application/vnd.jupyter.widget-view+json": {
       "version_major": 2,
       "version_minor": 0,
       "model_id": "ac003f13a2d8492b939651adc5a00a65"
      }
     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Training loss: 0.0234, validation loss: 0.0327\n"
     ]
    }
   ],
   "source": [
    "model_en.fit(\n",
    "    training_series=train_en_transformed,\n",
    "    target_series=train_en_transformed['0'],\n",
    "    val_training_series=val_en_transformed,\n",
    "    val_target_series=val_en_transformed['0'],\n",
    "    verbose=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "pred_series = model_en.historical_forecasts(\n",
    "    series_en_transformed,\n",
    "    start=pd.Timestamp('20170901'), \n",
    "    forecast_horizon=7,\n",
    "    stride=5,\n",
    "    retrain=False,\n",
    "    use_full_output_length=True,\n",
    "    verbose=True\n",
    ")\n",
    "display_forecast(pred_series, series_en_transformed, '7 day', start_date=pd.Timestamp('20170901'))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5-final"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}